Highlight benefits: Communicate specific value AI features offer users through better experiences, time savings, and ability to focus on higher priorities. Link benefits directly to user pain points.

Lead by example: Influence adoption by getting leadership and influencers to actively embrace and promote the use of new AI capabilities first. Their endorsement sparks others.

Offer training: Provide hands-on training resources like videos, guides, and live support to boost user confidence in interacting with and benefiting from AI tools.

Start small: Introduce AI incrementally starting with limited pilots among early adopters rather than deploying enterprise-wide immediately. Small starts build familiarity and allow iteration.

Incentivize usage: Run contests, offer perks, and recognize top users of new AI features. Friendly competition and rewards accelerate infusing AI into workflows.

Gather feedback: Solicit user input through surveys, interviews, and reviews during pilots. Feedback tailors tools and messaging to overcome adoption barriers.

Automate integration: Integrate AI seamlessly into existing workflows and tools through automations and integrations to reduce disruption and friction during onboarding.

Celebrate successes: Widely share user stories highlighting achievements powered by AI adoption. Success stories propagate organically and encourage usage.

Enable collaboration: Facilitate peer learning by creating AI user groups, chat channels, and online communities for employees to discuss use cases and best practices.

Iterate continuously: Continuously refine features and educational resources based on usage data and user feedback. Well-executed agile iterations demonstrate responsive enhancement.